Triple

T17244320
Position Surface form Disambiguated ID Type / Status
Subject Kurawa E418581 entity
Predicate advisedBy P488 FINISHED
Object Sengkuni E1253629 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sengkuni | Statement: [Kurawa, advisedBy, Sengkuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sengkuni
Context triple: [Kurawa, advisedBy, Sengkuni]
  • A. Sengkuni chosen
    Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
  • B. Sengkang
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • C. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • D. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • E. Serenggeh
    Serenggeh is one of the smaller islands within Malaysia’s Perhentian Islands archipelago, known for its tropical marine environment and proximity to popular diving and snorkeling sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.